
You may have tables in your Amazon Redshift data warehouse or in your Amazon Simple Storage Service (Amazon S3) data lake full of records containing customer case notes, product reviews, and social media messages, in many languages. Your task is to identify the products that people are talking about, determine if they’re expressing happy thoughts or sad thoughts, translate their comments into a single common language, and create copies of the data for your business analysts with this new information added to each record. Additionally, you need to remove any personally identifiable information (PII), such as names, addresses, and …